Shubham Muramkar is a skilled data professional with extensive experience in machine learning and data science. Currently, Shubham serves as a Senior Data Scientist at Incedo Inc. and as a Machine Learning Engineer at Verizon, focusing on the development and deployment of machine learning models and pipelines using Python, PySpark, and Google Cloud Platform. Previously, Shubham held the position of SDE 3 at FactSet, where the development of machine learning models for classifying financial reports and implementing a similarity check model using NLTK was accomplished. Additionally, Shubham worked at Tata Consultancy Services as a Machine Learning Engineer, deploying Romanian language capabilities and developing models based on substantial text datasets. Early career experience includes a role as a Big Data/ML developer at Appin Technology, where Shubham created image recognition solutions for machine learning training datasets. Educational background includes a Bachelor of Engineering in Computer Engineering from Oriental Institute of Science & Technology.
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